AIMC Topic:
Bayes Theorem

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Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 19, 2016
Daytime short nap involves physiological processes, such as alertness, drowsiness and sleep. The study of the relationship between drowsiness and nap based on physiological signals is a great way to have a better understanding of the periodical rhyme...
Humans Machine Learning Algorithms Diagnosis, Computer-Assisted Young Adult Models, Statistical Adult Data Interpretation, Statistical Sensitivity and Specificity Male Bayes Theorem Electroencephalography Pattern Recognition, Automated Polysomnography Sleep Stages Computer Simulation Female Reproducibility of Results
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Human Motion Retrieval Based on Statistical Learning and Bayesian Fusion.

PloS one Oct 12, 2016
A novel motion retrieval approach based on statistical learning and Bayesian fusion is presented. The approach includes two primary stages. (1) In the learning stage, fuzzy clustering is utilized firstly to get the representative frames of motions, a...
Pattern Recognition, Automated Movement Artificial Intelligence Algorithms Humans Databases, Factual Cluster Analysis Bayes Theorem Probability Information Storage and Retrieval
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Detection of clinically important colorectal surgical site infection using Bayesian network.

The Journal of surgical research Oct 5, 2016
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-time surveillance of clinical practice has been sparse and expensive or nonexistent. However, natural language processing (NLP) and machine learning (i...
Medical Audit Colorectal Surgery Humans Retrospective Studies Natural Language Processing Bayes Theorem Surgical Wound Infection Quality Improvement
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Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats.

Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc Oct 3, 2016
Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases in cats. The very similar clinical signs and histopathologic features of these diseases make the distinction between them diagnostically challenging. ...
Inflammatory Bowel Diseases Female Animals Male Blood Cell Count Lymphoma Neural Networks, Computer Cats Decision Trees Machine Learning Cat Diseases Bayes Theorem Algorithms Diagnostic Techniques and Procedures Blood Chemical Analysis
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A machine learning-based framework to identify type 2 diabetes through electronic health records.

International journal of medical informatics Oct 1, 2016
OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects wit...
Machine Learning Algorithms Electronic Health Records Pilot Projects Humans Bayes Theorem Genome-Wide Association Study Diabetes Mellitus, Type 2 Logistic Models Support Vector Machine
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Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.

Academic radiology Sep 28, 2016
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article fe...
Machine Learning Bibliometrics Area Under Curve Bayes Theorem Journal Impact Factor Humans Radiology Publishing Periodicals as Topic Publications
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Classifying smoking urges via machine learning.

Computer methods and programs in biomedicine Sep 23, 2016
BACKGROUND AND OBJECTIVE: Smoking is the largest preventable cause of death and diseases in the developed world, and advances in modern electronics and machine learning can help us deliver real-time intervention to smokers in novel ways. In this pape...
Models, Theoretical Humans Machine Learning Bayes Theorem Algorithms Smoking
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Machine learning approaches to personalize early prediction of asthma exacerbations.

Annals of the New York Academy of Sciences Sep 14, 2016
Patient telemonitoring results in an aggregation of significant amounts of information about patient disease trajectory. However, the potential use of this information for early prediction of exacerbations in adult asthma patients has not been system...
Self Care Asthma Disease Progression Severity of Illness Index ROC Curve Precision Medicine Models, Biological Decision Support Systems, Clinical Prognosis Combined Modality Therapy Computational Biology Humans Electronic Health Records Telemedicine Machine Learning Adult Monitoring, Physiologic Algorithms Bayes Theorem Internet
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Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Annals of the New York Academy of Sciences Sep 14, 2016
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of the medical linear accelerator (Linac) and is critical for continuo...
In Vivo Dosimetry Models, Biological Quality Assurance, Health Care Radiosurgery Empirical Research Regression Analysis Bayes Theorem Kinetics Neural Networks, Computer Machine Learning Forecasting Databases, Factual Reproducibility of Results Neoplasms Computational Biology Longitudinal Studies Humans
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Estimating complicated baselines in analytical signals using the iterative training of Bayesian regularized artificial neural networks.

Analytica chimica acta Sep 13, 2016
The present work deals with the development of a new baseline correction method based on the comparative learning capabilities of artificial neural networks. The developed method uses the Bayes probability theorem for prevention of the occurrence of ...
Neural Networks, Computer Algorithms Bayes Theorem
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